Measuring chronic and transient components of poverty: A Bayesian approach

被引：0
|
作者：
Hasegawa, Hikaru
Ueda, Kazuhiro [1 ]
机构：
[1] Nihon Fukushi Univ, Fac Econ, Mihama, Aichi 4703295, Japan
[2] Hokkaido Univ, Grad Sch Econ & Business Adm, Sapporo, Hokkaido, Japan
来源：
EMPIRICAL ECONOMICS | 2007年 / 33卷 / 03期
关键词：
birth-death process; foster greer and thorbecke (FGT); measure; Gibbs sampling; Markov chain Monte Carlo (MCMC);
D O I：
10.1007/s00181-006-0110-5
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
After the publication of Ravallion's Econ J 98:1171-1182,1988 seminal work on chronic and transient poverty, wide attention has been given to the components of poverty. We propose a Bayesian mixture model to measure poverty and divide it into chronic and the transient poverty using the Foster, Greer and Thorbecke (FGT) measure.These two types of poverty are illustrated using the Panel Study of Income Dynamics (PSID) data.
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页码：469 / 490
页数：22
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